{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "from util import normalization, cal2, draw\n",
    "from tqdm import tqdm\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "本实验希望做这样的一件事情：\n",
    "\n",
    "1.给出风机上游序列data2和下游序列data1，对于data1中每个时间窗口内的风速波形，都能找到data2中对应的波形与之匹配\n",
    "\n",
    "2.使用上游data2中波形尾部的变化能够预测data1尾部的风速变化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 原始数据的源文件路径，注意：path2是上游风机的路径\n",
    "path1 = \"/home/duxiangyu/ethiopia_data/processed_data/2.csv\"\n",
    "path2 = \"/home/duxiangyu/ethiopia_data/processed_data/3.csv\"\n",
    "\n",
    "# 数据名称，和图片保存的路径有关，与数据加载无关\n",
    "data_name = \"ethiopia_data\"\n",
    "\n",
    "# 表示滑动窗口大小，每次向下滑动一格\n",
    "seq = 18\n",
    "\n",
    "# start表示起点，表示如果当前的序列是[cur, cur + window_size)，在搜索上游时：\n",
    "# 从[cur - start, cur + window_size - start)从这个区间往后开始区间搜索，直到[cur - end - 1, cur + window_size - end - 1)\n",
    "start = 6\n",
    "end = -6\n",
    "\n",
    "# 因为真实数据集太长，每次实验时只截取目标风机序列的一小部分，起点的范围是[dataset_start, dataset_end)\n",
    "# 这是滑动窗口，所以终点的范围是[dataset_start + seq, dataset_end + seq)\n",
    "length = 128\n",
    "dataset_start = 400\n",
    "dataset_end = dataset_start + length\n",
    "\n",
    "# 用来配对，找到相似序列的特征\n",
    "features = [\"dspeed\"]\n",
    "\n",
    "# 用来可视化展示效果的特征\n",
    "targets = [\"a60_wind_speed_mean\"]\n",
    "\n",
    "# 限制配对过程中单点可匹配的个数（因为效果不好所以基本上废弃了）\n",
    "limit = 50000\n",
    "\n",
    "# 限制配对过程中匹配窗口可以前移，后推，伸缩的量\n",
    "step = 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "读入数据并对speed进行正则化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "origin_data1 = pd.read_csv(path1)\n",
    "origin_data2 = pd.read_csv(path2)\n",
    "data1 = origin_data1[features].to_numpy(dtype=float)\n",
    "data2 = origin_data2[features].to_numpy(dtype=float)\n",
    "data1, avg1 = normalization(data1)\n",
    "data2, avg2 = normalization(data2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "遍历目标序列data1，在上游序列data2中找到最贴近的上游作为参考序列\n",
    "\n",
    "即对于data1中的[cur, cur + seq)，会在[cur - start, cur + seq - start)到[cur - end, cur + seq - end)中查找"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 128/128 [00:00<00:00, 352.73it/s]\n"
     ]
    }
   ],
   "source": [
    "res = []\n",
    "last_min_start2 = dataset_start - start\n",
    "last_max_start2 = dataset_start - end\n",
    "last_min_len2 = seq // 2\n",
    "last_max_len2 = seq * 2\n",
    "for start1 in tqdm(range(dataset_start, dataset_end)):\n",
    "    # 找到的最好的序列2在什么位置，以及其匹配规则是什么\n",
    "    min_start = -1\n",
    "    min_end = -1\n",
    "    min_dis = sys.float_info.max\n",
    "    min_rule = []\n",
    "\n",
    "    # 取上游风速，用150m做距离计算时延\n",
    "    \"\"\"\n",
    "    d = 150\n",
    "    v = origin_data2[\"speed\"][start1].item()\n",
    "    time_delay = int(d / v)\n",
    "    start = time_delay * 2\n",
    "    end = time_delay - 5\n",
    "    \"\"\"\n",
    "\n",
    "    \n",
    "    # 挨个寻找序列2的起点\n",
    "    for start2 in range(max(start1 - start, last_min_start2), min(start1 - end, last_max_start2)):\n",
    "        end2, cur_value, rule = cal2(data1, start1, data2, start2, seq, max(int(seq / 2), last_min_len2), min(seq * 2, last_max_len2), limit)\n",
    "        if min_dis > cur_value:\n",
    "            min_dis = cur_value\n",
    "            min_start = start2\n",
    "            min_end = end2\n",
    "            min_rule = rule\n",
    "\n",
    "    res.append([start1, start1 + seq, min_start, min_end, min_rule])\n",
    "    last_min_start2 = min_start\n",
    "    last_max_start2 = min_start + step\n",
    "    last_min_len2 = min_end - min_start - step\n",
    "    last_max_len2 = min_end - min_start + step"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "绘制每个窗口相似序列示意图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if not os.path.exists(data_name):\n",
    "    os.mkdir(data_name)\n",
    "draw(origin_data1, origin_data2, data_name, dataset_start, dataset_end, targets, res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for target in targets:\n",
    "    y_true = []\n",
    "    y_hat = []\n",
    "    step = 1\n",
    "    for start1, end1, start2, end2, rule in res:\n",
    "        target_data = origin_data1[target]\n",
    "        source_data = origin_data2[target]\n",
    "        \n",
    "        delta = (source_data[end2 + step - 1] - source_data[end2 - 2]) / step / 6\n",
    "\n",
    "        y_true.append(target_data[end1 + step - 1])\n",
    "        y_hat.append(delta + target_data[end1 - 1])\n",
    "\n",
    "    x = range(len(y_hat))\n",
    "    plt.subplots(figsize=(15, 10))\n",
    "    plt.plot(x, y_hat, color='red', label=\"prediction\")\n",
    "    plt.plot(x, y_true, color='blue', label=\"grand_truth\")\n",
    "    plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "base mae:0.6696971968503938\n",
      "prediced mae:0.7053944146981623\n"
     ]
    }
   ],
   "source": [
    "mae_base = 0\n",
    "for i in range(len(y_true) - step):\n",
    "    mae_base += abs(y_true[i + step] - y_true[i])\n",
    "print(\"base mae:\" + str(mae_base / (len(y_true) - step)))\n",
    "\n",
    "mas_predict = 0\n",
    "for i in range(step, len(y_true)):\n",
    "    mas_predict += abs(y_true[i] - y_hat[i])\n",
    "print(\"prediced mae:\" + str(mas_predict / (len(y_true) - step)))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "gru",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.19"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
